Files
PaperClipAI/tests/runner-e2e/catalog.ts
T
DottaandPaperclip 3447609d22 fix(runner): stream and page large API responses within capture budgets (#14301)
## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work.
> - Agents use governed API tools to inspect task evidence.
> - Large API results become saved assets with short previews.
> - Reading an asset through the same tool used to create another asset,
so the agent could not reach the rest of the evidence.
> - The 10 MiB response cap also blocked useful large results. Removing
all bounds allowed excessive disk use.
> - This pull request streams responses up to 1 GiB and makes saved text
readable in bounded pages. It adds durable run budgets and capture
admission limits.
> - Agents can inspect complete evidence while tool results, memory use,
and capture work stay bounded.

## Linked Issues or Issue Description

**What happened?**
A large response became an asset. Reading that asset returned another
asset and the same preview. Responses above 10 MiB failed before the
agent could read any page.

**Expected behavior**
The agent can fetch a large response and read its saved text to EOF.
Each page stays bounded. New snapshots have a generous finite limit and
a durable run budget. Existing larger assets remain readable through
byte ranges.

**Steps to reproduce**
1. Call a GET operation that returns more than 10 MiB of text or JSON.
2. Before the fix, the tool returns `api_transport_failure`.
3. With this change, responses up to 1 GiB become streamed snapshots
with artifact references.
4. Read `GET /api/assets/{assetId}/content` with `responseText:
{offsetBytes: 0, limitBytes: 8192}`. Follow `nextOffsetBytes` until
null.

Related work: #14186 added the API fallback tools. #14218 bounded API
discovery.

## What Changed

- Add authenticated UTF-8 text windows to `call_api`, with byte offsets
and total size. Keep each page at or below 24 KiB.
- Stream new responses above 24 KiB through private temporary files into
company-owned assets. Bound each capture to 1 GiB of decoded bytes.
Reject oversized declared lengths before reading and count streamed
bytes before writing.
- Reserve capture budget in the run record before spilling. Allow 4 GiB
per run. Settle successful captures to their actual size. Failed or
interrupted captures retain their full 1 GiB reservation. Run restarts
do not reset the budget.
- Enforce a 20 GiB company snapshot quota with database reservations.
Count legacy snapshots and unfinished storage work across runs and
processes. Asset deletion frees quota.
- Limit large captures to two per company and four per server process.
Hold slots through storage upload and temporary-file cleanup. Use a
10-minute download deadline and 30-second connection/idle-read timeouts.
- Return explicit size, budget, busy, and timeout errors. Preserve
unknown outcomes for mutations whose response cannot be captured.
- Read saved assets through authenticated storage ranges, with at most
two extra bytes for UTF-8 and EOF handling. Unpaged reads return the
existing asset and digest with a bounded preview. Reads create no copies
and do not consume capture budget.
- Keep existing assets above 1 GiB readable in pages. Use safe integer
offsets and PostgreSQL `bigint` asset sizes.
- Stream large S3 uploads through ordered multipart requests. Abort
failed uploads and remove partial local files.
- Revalidate run authority during downloads. Keep company authorization,
GET-only text paging, redirect denial, and mutation replay receipts.
- Document the separate 10 MiB upload limits. This PR does not raise
memory-buffered attachment ingestion limits. Future large video uploads
need streamed ingestion and storage quotas.

## Verification

- Full workspace `pnpm -r typecheck` and `pnpm build` pass after
rebasing on master.
- Focused API and response tests: 1,761 pass. Cover declared and chunked
oversize responses, incorrect Content-Length, exact-limit success,
active-stream deadline, cancellation, cleanup, concurrency admission,
and mutation outcome handling.
- Real HTTP integration: 28 tests pass, including runnerd → PRP →
authority → HTTP, a 12 MiB snapshot, final-page/EOF reads, cross-company
denial, a persisted 3 GiB sparse asset, and large mutation receipt
replay.
- The HTTP suite verifies durable run-budget accounting, simultaneous
runs competing for company quota, legacy snapshot accounting, deletion
refunds, failed-storage reservations, cleaned-failure refunds,
metadata-rollback cleanup refunds, preservation after a lost commit
acknowledgement, and small/saved reads after capture-budget exhaustion.
- A standalone proof streams exactly 1 GiB through the production
capture helper, verifies the final bytes, and removes its temporary
file. It uses repeated 256 KiB chunks and records a peak process RSS of
191 MiB.
- Earlier storage verification covers exact S3 multipart boundaries,
cleanup/abort failures, and a 17 MiB transfer through the real AWS SDK
to a local HTTP S3 endpoint. No cloud S3 qualification was run for this
follow-up.
- The local full test run was interrupted for the company-quota changes.
A later targeted run hit exhausted macOS shared-memory slots before
tests started; two unattached PostgreSQL segments with dead owners were
reclaimed before retrying. All 55 current-head checks pass at
`aebb80ceeeee77d5a56b67bfffd835f2f846878c`, including the full CI test
suite, typecheck, build, browser suites, security scan, and Greptile
(5/5). There are no unresolved review threads. The combined rebased test
catalog also passes (48 tests).
- Earlier paging acceptance passed Daytona and separate staging at
`7739879e9`. Those runs predate the streaming and budget changes.

## Risks

- The 1 GiB response cap and 10-minute active-download deadline are
intentional product limits. Larger live results must use endpoint
pagination or a direct file workflow. Existing larger assets remain
readable through bounded ranges.
- A durable 20 GiB company snapshot quota counts stored runner-api
assets and active/orphan reservations across runs and processes. The
operator can set PAPERCLIP_RUNNER_API_COMPANY_CAPTURE_MAX_BYTES to a
finite value of at least 1 GiB. Deleting snapshots frees capacity;
possible orphan storage must be reconciled before releasing its
reservation.
- A failed capture uses its full reservation. A new large capture needs
a full 1 GiB available, even if it later completes at a smaller size.
Small reads and existing asset pages remain available.
- Concurrency limits apply per server process. The run byte budget is
shared through the database.
- The `integer` to `bigint` migration rewrites asset metadata and takes
an exclusive table lock. File bytes stay in storage.
- A live endpoint is fetched once before returning its snapshot.
Continue reading the saved artifact for stable pages. Mutations may
commit before any size or transport error; inspect state before
retrying.
- Attachment uploads and native file handoffs still default to 10 MiB.
Raising buffered ingestion paths to GiB sizes is separate work.

## Model Used

OpenAI Codex, based on GPT-6, with code execution and repository tools.
The runtime does not expose an exact serving model variant or
context-window size. The earlier paging work also used browser testing
and subagents.

## Checklist

- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have searched GitHub for duplicate or related PRs and linked
them above
- [x] I have either (a) linked existing issues with `Fixes: #` / `Closes
#` / `Refs #` OR (b) described the issue in-PR following the relevant
issue template
- [x] I have not referenced internal/instance-local Paperclip issues or
links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip`
URLs)
- [x] My branch name describes the change (e.g. `docs/...`, `fix/...`)
and contains no internal Paperclip ticket id or instance-derived details
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] All Paperclip CI gates are green
- [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups
- [x] I will address all Greptile and reviewer comments before
requesting merge

---------

Co-authored-by: Paperclip <noreply@paperclip.ing>
2026-09-28 10:36:32 -05:00

1305 lines
67 KiB
TypeScript

import { apiResponseReadingTask } from "./api-response-reading.js";
import { accountingTasks } from "./accounting-cases.js";
import { continuationTasks } from "./continuation-cases.js";
import { lifecycleLiveTasks, lifecycleLiveDefinitionDigest } from "./lifecycle-live-cases.js";
import { everydayTasks, productionStoryProfile } from "./everyday-cases.js";
import { firstTaskTasks } from "./first-task-cases.js";
import { chatTasks, chatHardeningTasks, chatStoryTasks, chatQualificationTasks, chatCompletionTasks } from "./chat-cases.js";
import { createHash } from "node:crypto";
import { createAgentSchema } from "../../packages/shared/src/validators/agent.js";
import { createEnvironmentSchema } from "../../packages/shared/src/validators/environment.js";
import { DEFAULT_CODEX_LOCAL_MODEL } from "../../packages/adapters/codex-local/src/index.js";
import { models as claudeModels } from "../../packages/adapters/claude-local/src/index.js";
import { QUALIFIED_ACPX_PROFILES } from "../../packages/paperclip-runner/src/drivers/acpx/qualified-profiles.js";
import { QUALIFIED_OPENCODE_MODEL } from "../../packages/paperclip-runner/src/drivers/opencode/opencode-server-driver.js";
import { CREDENTIAL_NAMES } from "./types.js";
import {
openRouterProfileId,
openRouterRankingSnapshot,
} from "./openrouter-ranking.js";
import type {
AgentFixtureBuildInput,
EnvironmentFixture,
EnvironmentFixtureBuildInput,
MatrixExecution,
RunnerProfileFixture,
RunnerTaskFixture,
RunnerSuiteFixture,
SecretReference,
} from "./types.js";
const ENVIRONMENT_IDS = ["local", "daytona"] as const;
const SELECTABLE_GROUPS = [
"legacy",
"native",
"local",
"daytona",
"warm",
"core",
"breadth",
"chat",
"onboarding",
] as const;
const SAMPLE_UUID = "11111111-1111-4111-8111-111111111111";
export function isImmutableDaytonaImage(value: string | undefined) {
return /^.+@sha256:[0-9a-f]{64}$/i.test(value ?? "");
}
function requiredSecret(
input: AgentFixtureBuildInput,
name: RunnerProfileFixture["credential"],
): SecretReference {
const value = input.secretRefs[name];
if (!value) throw new Error(`Missing fixture secret reference ${name}`);
return value;
}
function commonAgent(
input: AgentFixtureBuildInput,
fixtureId: string,
adapterType: string,
adapterConfig: Record<string, unknown>,
) {
return {
name: `Runner E2E ${fixtureId} ${input.executionId}`,
role: "qa",
title: "Paid full-stack runner acceptance fixture",
capabilities:
"Completes deterministic standard, planning, and ask-mode runner acceptance tasks.",
adapterType,
adapterConfig,
defaultEnvironmentId: input.environmentId,
budgetMonthlyCents: 0,
instructionsBundle: {
entryFile: "AGENTS.md",
files: {
"AGENTS.md": [
"You are running a paid Paperclip end-to-end acceptance fixture.",
"Follow the assigned task and its Paperclip work mode literally.",
"In ongoing agent chats, follow the injected production chat directive; keep the conversation available after replying. The completion and implementation instructions below apply only to ordinary execution tasks.",
"For ordinary standard and ask tasks, publish the requested visible answer and mark the task done.",
"For ordinary planning tasks, publish or revise the canonical Plan document and its revision-bound request_confirmation, then wait. Only implement after that exact plan is accepted.",
"Invoke assigned tools only through the runtime's real tool-call channel. Never print XML, DSML, JSON, or other tool-call markup as assistant text.",
"Legacy adapters must use the public Paperclip API and the injected PAPERCLIP_API_URL, PAPERCLIP_API_KEY, PAPERCLIP_TASK_ID, and PAPERCLIP_RUN_ID values for comments, documents, interactions, and status changes.",
...(adapterType === "paperclip_runner"
? []
: [
"Read the assigned paperclip skill before using the Paperclip API. Use its documented request payloads rather than guessing fields from memory.",
'For a planning task, do not inspect the OpenAPI schema. PUT /api/issues/$PAPERCLIP_TASK_ID/documents/plan with {title:"Plan",format:"markdown",body,changeSummary}; read latestRevisionId and latestRevisionNumber from that response. Then POST /api/issues/$PAPERCLIP_TASK_ID/interactions with {kind:"request_confirmation",continuationPolicy:"wake_assignee",payload:{version:1,prompt,acceptLabel:"Approve",rejectLabel:"Reject",rejectRequiresReason:true,target:{type:"issue_document",key:"plan",revisionId,revisionNumber}}}, and PATCH the issue to {status:"in_review"}. Include Authorization and X-Paperclip-Run-Id on every write.',
]),
"Never print, persist, or expose credential values, and never create unrelated work.",
].join("\n"),
},
},
runtimeConfig: {},
};
}
function legacyProfile(input: {
id: string;
label: string;
adapterType: "codex_local" | "claude_local" | "opencode_local";
provider: string;
model: string;
credential: RunnerProfileFixture["credential"];
extraConfig?: Record<string, unknown>;
}): RunnerProfileFixture {
return {
...input,
modelQualification: {
source: "adapter_constant",
qualificationId: `${input.adapterType}:default-model`,
},
generation: "legacy",
groups: ["legacy"],
supportedEnvironments: ENVIRONMENT_IDS,
expectedRuntimeMode: "legacy",
expectedRuntimeMetadata: {
adapterType: input.adapterType,
provider: input.provider,
},
buildAgent(buildInput) {
return commonAgent(buildInput, input.id, input.adapterType, {
// Remote adapters must inherit the lease's provider-owned remoteCwd.
// A host path here would override that mapping inside the sandbox.
...(buildInput.environmentFixtureId === "local"
? { cwd: buildInput.workspacePath }
: {}),
model: input.model,
timeoutSec: buildInput.environmentFixtureId === "daytona" ? 780 : 360,
dangerouslySkipPermissions: true,
...input.extraConfig,
env: {
[input.credential]: requiredSecret(buildInput, input.credential),
},
});
},
};
}
function nativeProfile(input: {
id: string;
label: string;
provider: "codex" | "opencode" | "acpx";
model: string;
credential: RunnerProfileFixture["credential"];
acpxAgent?: "claude" | "codex";
supportedEnvironments?: readonly (typeof ENVIRONMENT_IDS)[number][];
modelQualification?: RunnerProfileFixture["modelQualification"];
ranking?: RunnerProfileFixture["ranking"];
}): RunnerProfileFixture {
return {
...input,
adapterType: "paperclip_runner",
generation: "native",
groups: ["native"],
supportedEnvironments: input.supportedEnvironments ?? ENVIRONMENT_IDS,
expectedRuntimeMode: "native",
modelQualification: input.modelQualification ?? {
source:
input.provider === "acpx"
? "qualified_runner_profile"
: "adapter_constant",
qualificationId:
input.provider === "acpx"
? `acpx:${input.acpxAgent}`
: `${input.provider}:qualified-model`,
},
...(input.ranking ? { ranking: input.ranking } : {}),
expectedRuntimeMetadata: {
adapterType: "paperclip_runner",
provider: input.provider,
},
buildAgent(buildInput) {
const credentialRef = requiredSecret(buildInput, input.credential);
const permissionConfig =
input.provider === "codex"
? { codexPermissionMode: "never" }
: input.provider === "opencode"
? { opencodePermissionMode: "allow" }
: { acpxPermissionMode: "approve-all", acpxAgent: input.acpxAgent };
return commonAgent(buildInput, input.id, "paperclip_runner", {
provider: input.provider,
model: input.model,
lifecycleMode: "per_turn",
idleTimeoutMs: 300_000,
...permissionConfig,
env: {
[input.credential]: credentialRef,
// Codex's supported automation credential is CODEX_API_KEY. Keep
// OPENAI_API_KEY as the operator-facing fixture secret name and bind
// the same encrypted reference to the runtime-specific alias.
...(input.provider === "codex"
? { CODEX_API_KEY: credentialRef }
: {}),
},
});
},
};
}
/** Chat acceptance exercises the shipped provider defaults, not full-auto fixtures. */
function defaultPermissionProfile(profile: RunnerProfileFixture): RunnerProfileFixture {
if (profile.generation !== "native") return profile;
return {
...profile,
buildAgent(input) {
const payload = profile.buildAgent(input);
const { codexPermissionMode: _codex, acpxPermissionMode: _acpx, ...adapterConfig } = payload.adapterConfig as Record<string, unknown>;
return { ...payload, adapterConfig };
},
};
}
const claudeLegacyModel = "claude-sonnet-4-6";
if (!claudeModels.some((model) => model.id === claudeLegacyModel)) {
throw new Error(
`Claude adapter does not expose the qualified ${claudeLegacyModel} model`,
);
}
export const runnerProfiles: readonly RunnerProfileFixture[] = [
legacyProfile({
id: "legacy-codex",
label: "Legacy Codex",
adapterType: "codex_local",
provider: "codex",
model: DEFAULT_CODEX_LOCAL_MODEL,
credential: "OPENAI_API_KEY",
// Keep this fixture on the classic adapter/CLI lane. ACP execution is
// covered independently by the native runner ACPX profiles below.
extraConfig: {
engine: "cli",
// Shell snapshots serialize inherited environment values into CODEX_HOME.
// These disposable runs carry short-lived API credentials; keep that
// optional optimization off rather than exempting leaked files from scans.
extraArgs: ["-c", "features.shell_snapshot=false"],
},
}),
legacyProfile({
id: "legacy-claude",
label: "Legacy Claude",
adapterType: "claude_local",
provider: "claude",
model: claudeLegacyModel,
credential: "ANTHROPIC_API_KEY",
extraConfig: {
engine: "cli",
// Plan fixtures need enough tool turns to read the issue, write the
// canonical Plan document, and request confirmation. Four turns caused
// the Claude CLI to terminate correctly but prematurely with
// `max_turns_exhausted` during the revision flow.
maxTurnsPerRun: 24,
},
}),
legacyProfile({
id: "legacy-opencode",
label: "Legacy OpenCode",
adapterType: "opencode_local",
provider: "opencode",
model: QUALIFIED_OPENCODE_MODEL,
credential: "OPENROUTER_API_KEY",
}),
nativeProfile({
id: "runner-codex",
label: "Runner Codex",
provider: "codex",
model: DEFAULT_CODEX_LOCAL_MODEL,
credential: "OPENAI_API_KEY",
}),
nativeProfile({
id: "runner-opencode",
label: "Runner OpenCode",
provider: "opencode",
model: QUALIFIED_OPENCODE_MODEL,
credential: "OPENROUTER_API_KEY",
}),
nativeProfile({
id: "runner-acpx-claude",
label: "Runner ACPX Claude",
provider: "acpx",
acpxAgent: "claude",
model: QUALIFIED_ACPX_PROFILES.claude.qualificationModel,
credential: "ANTHROPIC_API_KEY",
}),
nativeProfile({
id: "runner-acpx-codex",
label: "Runner ACPX Codex",
provider: "acpx",
acpxAgent: "codex",
model: QUALIFIED_ACPX_PROFILES.codex.qualificationModel,
credential: "OPENAI_API_KEY",
}),
] as const;
export const openRouterBreadthExcludedModelIds = ["xiaomi/mimo-v2.5"] as const;
export const openRouterBreadthExcludedExecutionIds = [
"openrouter-model-breadth.openrouter-deepseek-deepseek-v4-flash-0731.local.plan-approve-complete",
"openrouter-model-breadth.openrouter-tencent-hy3.local.plan-approve-complete",
] as const;
const openRouterBreadthExcludedModelIdSet = new Set<string>(
openRouterBreadthExcludedModelIds,
);
export const openRouterBreadthProfiles: readonly RunnerProfileFixture[] =
openRouterRankingSnapshot.models
.filter(
(rankedModel) => !openRouterBreadthExcludedModelIdSet.has(rankedModel.id),
)
.map((rankedModel) =>
nativeProfile({
id: openRouterProfileId(rankedModel.id),
label: `#${rankedModel.rank} ${rankedModel.name}`,
provider: "opencode",
model: `openrouter/${rankedModel.id}`,
credential: "OPENROUTER_API_KEY",
supportedEnvironments: ["local"],
modelQualification: {
source: "openrouter_rankings_snapshot",
qualificationId: `${openRouterRankingSnapshot.snapshotId}:${rankedModel.rank}`,
},
ranking: {
rank: rankedModel.rank,
canonicalModelId: rankedModel.id,
snapshotId: openRouterRankingSnapshot.snapshotId,
capturedAt: openRouterRankingSnapshot.capturedAt,
sourceUrl: openRouterRankingSnapshot.sourceUrl,
},
}),
);
function requiredDaytonaSecret(input: EnvironmentFixtureBuildInput) {
const apiKey = input.secretRefs.DAYTONA_API_KEY;
if (!apiKey)
throw new Error("Missing fixture secret reference DAYTONA_API_KEY");
return apiKey;
}
export const runnerEnvironments: readonly EnvironmentFixture[] = [
{
id: "local",
label: "Isolated local",
groups: ["local"],
driver: "local",
provider: "local",
lifecycle: {
setup: "instance_managed",
probe: "run_context_via_api",
cleanup: "instance_shutdown",
},
expectedExecutionTarget: { kind: "local" },
buildEnvironment(input) {
return {
name: `Runner E2E local ${input.executionId}`,
description: "Ephemeral local runner E2E environment",
driver: "local",
config: {},
envVars: {},
};
},
},
{
id: "daytona",
label: "Daytona sandbox",
groups: ["daytona"],
driver: "sandbox",
provider: "daytona",
credential: "DAYTONA_API_KEY",
lifecycle: {
setup: "create_via_api",
probe: "run_context_via_api",
cleanup: "delete_via_api_and_destroy_leases",
},
expectedExecutionTarget: { kind: "remote", transport: "sandbox" },
buildEnvironment(input) {
if (!isImmutableDaytonaImage(input.daytonaImage)) {
throw new Error(
"PAPERCLIP_E2E_DAYTONA_IMAGE must be an immutable image digest",
);
}
return {
name: `Runner E2E Daytona ${input.executionId}`,
description: "Ephemeral Daytona runner E2E environment",
driver: "sandbox",
config: {
provider: "daytona",
apiKey: requiredDaytonaSecret(input),
image: input.daytonaImage,
// Pin the billable resource shape so per-test runtime list-price
// estimates remain reproducible when provider defaults change.
cpu: 4,
memory: 4,
disk: 10,
reuseLease: false,
runnerLifecycleMode: "per_turn",
autoStopInterval: 5,
autoArchiveInterval: 15,
autoDeleteInterval: 60,
timeoutMs: 300_000,
livenessTimeoutMs: 30_000,
},
envVars: {},
};
},
},
] as const;
export const daytonaWarmEnvironment: EnvironmentFixture = {
id: "daytona",
configurationKey: "warm-reuse-v1",
label: "Daytona warm reusable sandbox",
groups: ["daytona", "warm"],
driver: "sandbox",
provider: "daytona",
credential: "DAYTONA_API_KEY",
lifecycle: {
setup: "create_via_api",
probe: "run_context_via_api",
cleanup: "delete_via_api_and_destroy_leases",
},
expectedExecutionTarget: { kind: "remote", transport: "sandbox" },
buildEnvironment(input) {
if (!isImmutableDaytonaImage(input.daytonaImage)) {
throw new Error(
"PAPERCLIP_E2E_DAYTONA_IMAGE must be an immutable image digest",
);
}
return {
name: `Runner E2E Daytona warm ${input.executionId}`,
description: "Ephemeral reusable Daytona runner E2E environment",
driver: "sandbox",
config: {
provider: "daytona",
apiKey: requiredDaytonaSecret(input),
image: input.daytonaImage,
cpu: 4,
memory: 4,
disk: 10,
reuseLease: true,
runnerLifecycleMode: "warm",
autoStopInterval: 5,
autoArchiveInterval: 15,
autoDeleteInterval: 60,
timeoutMs: 300_000,
livenessTimeoutMs: 30_000,
},
envVars: {},
};
},
};
export const runnerTasks: readonly RunnerTaskFixture[] = [
{
id: "message-marker",
label: "Basic response",
groups: [],
workMode: "standard",
flow: "single_turn",
expectedRunCount: 1,
attemptTimeoutMs: {
local: 8 * 60_000,
daytona: 15 * 60_000,
},
expectedTerminalState: { issue: "done", run: "succeeded" },
buildTitle: (nonce) => `Runner E2E PAPERCLIP_E2E_OK_${nonce}`,
buildVisibleMarker: (nonce) => `PAPERCLIP_E2E_OK_${nonce}`,
buildPrompt: (nonce) =>
[
"Complete this task in a single run.",
`The exact marker also appears unescaped in the task title: PAPERCLIP_E2E_OK_${nonce}`,
`Your final visible task-thread response must be exactly this marker: PAPERCLIP_E2E_OK_${nonce}`,
`In a native runner, use the current turn completion revision and criterion IDs (CURRENT_TURN_REVISION below is a placeholder, not a literal), then call paperclip_finish exactly once with {reportedWorkDisposition:"done",summary:"PAPERCLIP_E2E_OK_${nonce}",completionClaim:{contractRevision:CURRENT_TURN_REVISION,objectiveSatisfied:true,criteria:[{criterionId:"objective",status:"satisfied",evidenceRefs:[]}],remainingWork:[]},evidence:[],verification:[]}. Wait for that tool call to succeed, then emit exactly PAPERCLIP_E2E_OK_${nonce} once as the complete user-facing final response. Do not write a user-facing final response before paperclip_finish succeeds, and do not call another tool.`,
`In a legacy runner, make exactly one public-API write containing the marker: PATCH /api/issues/$PAPERCLIP_TASK_ID with {"status":"done","comment":"PAPERCLIP_E2E_OK_${nonce}"}. Do not POST to /comments, and do not include the marker in any other write.`,
"The visible task-thread response is asserted; hidden reasoning or provider terminal output alone does not count.",
"Use underscore characters exactly as shown and do not insert backslashes.",
"Do not create files, ask questions, start additional tasks, or include any credentials.",
].join("\n"),
buildMatchers(nonce, execution) {
return [
{ kind: "message_exact", expected: `PAPERCLIP_E2E_OK_${nonce}` },
{
kind: "message_occurrences",
expected: `PAPERCLIP_E2E_OK_${nonce}`,
count: 1,
},
{
kind: "issue_status",
expected: execution.task.expectedTerminalState.issue,
},
{
kind: "run_status",
expected: execution.task.expectedTerminalState.run,
},
{
kind: "runtime_mode",
expected: execution.profile.expectedRuntimeMode,
},
{ kind: "environment", expected: execution.environment.id },
];
},
},
{
id: "plan-revise-accept",
label: "Plan, revise, accept, implement",
groups: [],
workMode: "planning",
flow: "plan_revision_acceptance",
expectedRunCount: 3,
attemptTimeoutMs: {
local: 8 * 60_000,
daytona: 12 * 60_000,
},
expectedTerminalState: { issue: "done", run: "succeeded" },
buildTitle: (nonce) => `Runner E2E plan lifecycle ${nonce}`,
buildVisibleMarker: (nonce) => `PAPERCLIP_E2E_PLAN_DONE_${nonce}`,
buildPlanMarkers: (nonce) => ({
draft: `PAPERCLIP_E2E_PLAN_DRAFT_${nonce}`,
revised: `PAPERCLIP_E2E_PLAN_REVISED_${nonce}`,
}),
buildRevisionRequest: (nonce) =>
[
"Revise this same plan; do not implement it yet.",
`Remove PAPERCLIP_E2E_PLAN_DRAFT_${nonce} and include PAPERCLIP_E2E_PLAN_REVISED_${nonce}.`,
"Change the plan from two steps to exactly three numbered steps, with verification as step 3.",
"Publish the revised canonical Plan revision and request confirmation for that new revision.",
"In a native runner, call write_document for key `plan`, then call request_human_input exactly once with interactionKind `confirmation`, targetRevisionId set to the returned latest Plan revision, and continuationPolicy `wake_assignee`; do not call paperclip_finish while waiting. After write_document succeeds, request_human_input must be your immediate next action using that call's returned latestRevisionId; do not emit assistant text, end the response or heartbeat, or stop after write_document alone.",
"In a legacy runner, first GET the current `plan` issue document, then PUT the revised Plan with `baseRevisionId` set to that response's `latestRevisionId`; after the update succeeds, create the equivalent request_confirmation targeting the newly returned `latestRevisionId` through the public Paperclip API.",
].join(" "),
buildPrompt: (nonce) =>
[
"This is a planning-mode lifecycle acceptance task.",
"First, create a small canonical Plan with exactly two numbered steps and request approval; do not implement it.",
`The initial Plan body must contain PAPERCLIP_E2E_PLAN_DRAFT_${nonce}.`,
"If the plan is sent back, revise that same Plan document according to the revision note, publish a new revision-bound confirmation, and still do not implement.",
`Before the revised Plan is accepted, do not spell, quote, repeat, announce, or include PAPERCLIP_E2E_PLAN_DONE_${nonce} in any visible response, comment, or tool payload; refer to it only as “the terminal marker.”`,
"Only after the revised plan is accepted, implement it by posting one final visible task-thread response containing exactly " +
`PAPERCLIP_E2E_PLAN_DONE_${nonce}` +
" and mark the task Done.",
`For a native runner, remain in the requested planning collaboration mode. Call write_document for key \`plan\`, then call request_human_input exactly once with interactionKind \`confirmation\`, targetRevisionId set to the returned latest Plan revision, and continuationPolicy \`wake_assignee\`. For both the initial Plan and the revised Plan, those two tool calls form one indivisible response sequence: immediately after write_document succeeds, request_human_input must be your next action using that call's returned latestRevisionId. Do not emit assistant text, end the response or heartbeat, or stop after write_document alone before the matching confirmation request succeeds. Do not call paperclip_finish while waiting for either Plan confirmation. When an acceptance wake arrives, first call get_task_context. Treat the wake as valid only when that control-plane result is for the current task and identifies the exact revised Plan revision used as the confirmation target as accepted; otherwise do not finish and continue waiting for the matching revision-bound confirmation. After that verification succeeds, your immediate next action must be the paperclip_finish tool call. Do not call list_documents or any other tool, and do not emit any assistant text, acknowledgement, progress note, or preamble between verification and paperclip_finish. Use the current turn completion revision and criterion IDs (CURRENT_TURN_REVISION below is a placeholder, not a literal). Call paperclip_finish exactly once with {reportedWorkDisposition:"done",summary:"PAPERCLIP_E2E_PLAN_DONE_${nonce}",completionClaim:{contractRevision:CURRENT_TURN_REVISION,objectiveSatisfied:true,criteria:[{criterionId:"objective",status:"satisfied",evidenceRefs:[]}],remainingWork:[]},evidence:[],verification:[]}. Wait for that tool call to succeed, then emit only PAPERCLIP_E2E_PLAN_DONE_${nonce} as the complete final response. Do not write a user-facing final response before paperclip_finish succeeds, and do not call another tool.`,
`For a legacy runner, use the public Paperclip API. The first PUT of the \`plan\` issue document creates it. For every later PUT, first GET the current document and set \`baseRevisionId\` to its \`latestRevisionId\`; a 409 means you must GET again and retry with the new latest revision. Create a \`request_confirmation\` targeting the successful PUT response's \`latestRevisionId\` with \`continuationPolicy: wake_assignee\`, and move the issue to \`in_review\` while waiting. After the revised Plan is accepted, write PAPERCLIP_E2E_PLAN_DONE_${nonce} exactly once through one atomic issue PATCH with status \`done\` and that exact comment; do not POST a separate comment or perform a second write.`,
"Do not create files, child tasks, or unrelated work, and do not expose credentials.",
].join("\n"),
buildMatchers(nonce, execution) {
return [
{
kind: "message_exact",
expected: `PAPERCLIP_E2E_PLAN_DONE_${nonce}`,
},
{
kind: "message_occurrences",
expected: `PAPERCLIP_E2E_PLAN_DONE_${nonce}`,
count: 1,
},
{
kind: "issue_status",
expected: execution.task.expectedTerminalState.issue,
},
{
kind: "run_status",
expected: execution.task.expectedTerminalState.run,
},
{
kind: "runtime_mode",
expected: execution.profile.expectedRuntimeMode,
},
{ kind: "environment", expected: execution.environment.id },
];
},
},
{
id: "ask-question",
label: "Ask mode question",
groups: [],
workMode: "ask",
flow: "single_turn",
expectedRunCount: 1,
attemptTimeoutMs: {
local: 8 * 60_000,
daytona: 15 * 60_000,
},
expectedTerminalState: { issue: "done", run: "succeeded" },
buildTitle: (nonce) => `Runner E2E ask mode ${nonce}`,
buildVisibleMarker: (nonce) => `E2E_ASK_12_${nonce}`,
buildPrompt: (nonce) =>
[
"Answer this question directly in Ask mode: what is seven plus five?",
`Your final visible task-thread answer must be exactly this complete marker, including its final suffix: E2E_ASK_12_${nonce}.`,
"Do not create or modify files, do not create a plan or additional work, and do not expose credentials.",
"After posting the direct answer, mark this task Done.",
`In a native runner, use the current turn completion revision and criterion IDs (CURRENT_TURN_REVISION below is a placeholder, not a literal), then call paperclip_finish exactly once with {reportedWorkDisposition:"done",summary:"E2E_ASK_12_${nonce}",completionClaim:{contractRevision:CURRENT_TURN_REVISION,objectiveSatisfied:true,criteria:[{criterionId:"objective",status:"satisfied",evidenceRefs:[]}],remainingWork:[]},evidence:[],verification:[]}. For the entire run, paperclip_finish must be your only tool call: never call report_progress or any other tool before or after it. Wait for that tool call to succeed, then emit exactly E2E_ASK_12_${nonce} as the complete final response. Do not write a user-facing final response before paperclip_finish succeeds.`,
`In a legacy runner, make exactly one public-API write containing the marker: PATCH /api/issues/$PAPERCLIP_TASK_ID with {"status":"done","comment":"E2E_ASK_12_${nonce}"}. Do not POST to /comments, do not PATCH the status separately, and do not include the marker in any other API write.`,
].join("\n"),
buildMatchers(nonce, execution) {
return [
{
kind: "message_exact",
expected: `E2E_ASK_12_${nonce}`,
},
{
kind: "message_occurrences",
expected: `E2E_ASK_12_${nonce}`,
count: 1,
},
{
kind: "issue_status",
expected: execution.task.expectedTerminalState.issue,
},
{
kind: "run_status",
expected: execution.task.expectedTerminalState.run,
},
{
kind: "runtime_mode",
expected: execution.profile.expectedRuntimeMode,
},
{ kind: "environment", expected: execution.environment.id },
];
},
},
] as const;
function terminalMatchers(
nonceMarker: string,
execution: MatrixExecution,
): readonly ReturnType<RunnerTaskFixture["buildMatchers"]>[number][] {
return [
{ kind: "message_exact", expected: nonceMarker },
{ kind: "message_occurrences", expected: nonceMarker, count: 1 },
{
kind: "issue_status",
expected: execution.task.expectedTerminalState.issue,
},
{ kind: "run_status", expected: execution.task.expectedTerminalState.run },
{ kind: "runtime_mode", expected: execution.profile.expectedRuntimeMode },
{ kind: "environment", expected: execution.environment.id },
];
}
function breadthMarker(phase: "H" | "Q_C" | "P_READY" | "P_OK", nonce: string) {
// Keep the complete visible marker comfortably below the shortest output
// fragments observed across ranked models while retaining the attempt nonce.
return `PC_${phase}_${nonce}`;
}
const structuredQuestionResumeTask = {
id: "structured-question-resume",
label: "Structured question, answer, resume",
groups: [],
workMode: "standard",
flow: "question_resume_completion",
expectedRunCount: 2,
attemptTimeoutMs: { local: 12 * 60_000, daytona: 12 * 60_000 },
expectedTerminalState: { issue: "done", run: "succeeded" },
buildTitle: (nonce) => `Runner E2E structured question ${nonce}`,
buildVisibleMarker: (nonce) => `PAPERCLIP_E2E_QUESTION_DONE_${nonce}`,
buildQuestionAnswer: (nonce) => ({
optionLabel: "Cobalt",
expectedMarker: `PAPERCLIP_E2E_QUESTION_DONE_${nonce}`,
}),
buildPrompt: (nonce) =>
[
"Ask the user one structured question before completing this task.",
"The question must be required, single-select, and offer Cobalt and Amber. Do not publish a final answer or mark the task Done while it is pending.",
`Before the answer arrives, do not spell, quote, repeat, announce, or include PAPERCLIP_E2E_QUESTION_DONE_${nonce} in any visible response, comment, or tool payload; refer to it only as “the terminal marker.”`,
`In a native runner, call request_human_input exactly once with idempotencyKey \`question-${nonce}\`, interactionKind \`questions\`, title \`Verification word\`, prompt \`Choose the verification word\`, continuationPolicy \`wake_assignee\`, and payload {version:1,questions:[{id:\`verification-word\`,prompt:\`Choose the verification word.\`,selectionMode:\`single\`,required:true,options:[{id:\`cobalt\`,label:\`Cobalt\`},{id:\`amber\`,label:\`Amber\`}]}]}.`,
'In a legacy runner, derive `API_ORIGIN` exactly once with `API_ORIGIN="${PAPERCLIP_API_URL%/}"; API_ORIGIN="${API_ORIGIN%/api}"`. Build every endpoint as `$API_ORIGIN/api/...`; never append `/api` to a base that already ends in `/api`.',
`In a legacy runner, create exactly one question interaction: POST $API_ORIGIN/api/issues/$PAPERCLIP_TASK_ID/interactions once with {"kind":"ask_user_questions","idempotencyKey":"question-${nonce}","continuationPolicy":"wake_assignee","payload":{"version":1,"questions":[{"id":"verification-word","prompt":"Choose the verification word.","selectionMode":"single","required":true,"options":[{"id":"cobalt","label":"Cobalt"},{"id":"amber","label":"Amber"}]}]}} using Authorization and X-Paperclip-Run-Id. Do not create a replacement interaction if a later write fails.`,
'In a legacy runner, after that POST returns 2xx, PATCH $API_ORIGIN/api/issues/$PAPERCLIP_TASK_ID with exactly {"status":"in_review"}. Do not include `reviewInteractionId`: it only designates confirmation interactions, not `ask_user_questions`. If the PATCH fails, retry only that PATCH and never POST the interaction again.',
"In a legacy runner, after those two writes succeed, end the current response and heartbeat immediately. Do not wait, sleep, poll, or fetch the interaction; `wake_assignee` will start a new heartbeat after the user answers.",
`After the answer arrives, if it is Cobalt, publish exactly PAPERCLIP_E2E_QUESTION_DONE_${nonce} once as the complete visible response and mark the task Done.`,
`In a native runner, after the answer arrives, use the current turn completion revision and criterion IDs (CURRENT_TURN_REVISION below is a placeholder, not a literal), then call paperclip_finish exactly once with {reportedWorkDisposition:"done",summary:"PAPERCLIP_E2E_QUESTION_DONE_${nonce}",completionClaim:{contractRevision:CURRENT_TURN_REVISION,objectiveSatisfied:true,criteria:[{criterionId:"objective",status:"satisfied",evidenceRefs:[]}],remainingWork:[]},evidence:[],verification:[]}. Wait for that tool call to succeed, then emit exactly PAPERCLIP_E2E_QUESTION_DONE_${nonce} as the complete final response. Do not write a user-facing final response before paperclip_finish succeeds, and do not call another tool.`,
`In a legacy runner, make exactly one completion write: PATCH $API_ORIGIN/api/issues/$PAPERCLIP_TASK_ID with {"status":"done","comment":"PAPERCLIP_E2E_QUESTION_DONE_${nonce}"}. Do not POST a separate comment or perform a second write containing the marker.`,
"Do not create files, plans, child tasks, or unrelated work, and do not expose credentials.",
].join("\n"),
buildMatchers(nonce, execution) {
return [
{
kind: "message_exact",
expected: `PAPERCLIP_E2E_QUESTION_DONE_${nonce}`,
},
{
kind: "message_occurrences",
expected: `PAPERCLIP_E2E_QUESTION_DONE_${nonce}`,
count: 1,
},
{
kind: "issue_status",
expected: execution.task.expectedTerminalState.issue,
},
{
kind: "run_status",
expected: execution.task.expectedTerminalState.run,
},
{
kind: "runtime_mode",
expected: execution.profile.expectedRuntimeMode,
},
{ kind: "environment", expected: execution.environment.id },
];
},
} satisfies RunnerTaskFixture;
export const localIntegrityTasks: readonly RunnerTaskFixture[] = [
structuredQuestionResumeTask,
{
...structuredQuestionResumeTask,
id: "structured-question-restart-resume",
label: "Structured question, server restart, answer, resume",
restartServerBeforeQuestionAnswer: true,
buildTitle: (nonce) => `Runner E2E restart question ${nonce}`,
},
] as const;
export const openRouterBreadthTasks: readonly RunnerTaskFixture[] = [
{
id: "hello-complete",
label: "Hello and complete",
groups: [],
workMode: "standard",
flow: "single_turn",
expectedRunCount: 1,
attemptTimeoutMs: { local: 8 * 60_000, daytona: 8 * 60_000 },
expectedTerminalState: { issue: "done", run: "succeeded" },
buildTitle: (nonce) => `OpenRouter breadth hello ${nonce}`,
buildVisibleMarker: (nonce) => breadthMarker("H", nonce),
buildPrompt: (nonce) =>
[
"Complete this deterministic hello task in one turn.",
"Your first response action must be the paperclip_finish tool call. Do not emit any assistant text, acknowledgement, or preamble before calling it.",
`Use the current turn completion revision and criterion IDs (CURRENT_TURN_REVISION below is a placeholder, not a literal). Call paperclip_finish exactly once with {reportedWorkDisposition:"done",summary:"${breadthMarker("H", nonce)}",completionClaim:{contractRevision:CURRENT_TURN_REVISION,objectiveSatisfied:true,criteria:[{criterionId:"objective",status:"satisfied",evidenceRefs:[]}],remainingWork:[]},evidence:[],verification:[]}. Wait for that tool call to succeed, then emit exactly ${breadthMarker("H", nonce)} as the complete user-facing final response. Do not write a user-facing final response before paperclip_finish succeeds, and do not call another tool.`,
"Do not create files, plans, interactions, or additional work.",
].join("\n"),
buildMatchers: (nonce, execution) =>
terminalMatchers(breadthMarker("H", nonce), execution),
},
{
id: "question-resume-complete",
label: "Ask, answer, resume",
groups: [],
workMode: "standard",
flow: "question_resume_completion",
expectedRunCount: 2,
attemptTimeoutMs: { local: 12 * 60_000, daytona: 12 * 60_000 },
expectedTerminalState: { issue: "done", run: "succeeded" },
buildTitle: (nonce) => `OpenRouter breadth question ${nonce}`,
buildVisibleMarker: (nonce) => breadthMarker("Q_C", nonce),
buildQuestionAnswer: (nonce) => ({
optionLabel: "Cobalt",
expectedMarker: breadthMarker("Q_C", nonce),
}),
buildPrompt: (nonce) =>
[
"Ask the user one structured question before completing this task.",
`Call request_human_input exactly once with idempotencyKey \`question-${nonce}\`, interactionKind \`questions\`, title \`Verification word\`, prompt \`Choose the verification word\`, continuationPolicy \`wake_assignee\`, and payload {version:1,questions:[{id:\`verification-word\`,prompt:\`Choose the verification word.\`,selectionMode:\`single\`,required:true,options:[{id:\`cobalt\`,label:\`Cobalt\`},{id:\`amber\`,label:\`Amber\`}]}]}.`,
`Before the answer arrives, do not spell, quote, repeat, announce, or include ${breadthMarker("Q_C", nonce)} in any visible response, comment, or tool payload; refer to it only as “the terminal marker.”`,
"Do not call paperclip_finish while the question is pending.",
`After the answer arrives, if it is Cobalt, use the current turn completion revision and criterion IDs (CURRENT_TURN_REVISION below is a placeholder, not a literal), then call paperclip_finish exactly once with {reportedWorkDisposition:"done",summary:"${breadthMarker("Q_C", nonce)}",completionClaim:{contractRevision:CURRENT_TURN_REVISION,objectiveSatisfied:true,criteria:[{criterionId:"objective",status:"satisfied",evidenceRefs:[]}],remainingWork:[]},evidence:[],verification:[]}. Wait for that tool call to succeed, then emit exactly ${breadthMarker("Q_C", nonce)} as the complete user-facing final response. Do not write a user-facing final response before paperclip_finish succeeds, and do not call another tool.`,
"Do not create files, plans, or additional work.",
].join("\n"),
buildMatchers: (nonce, execution) =>
terminalMatchers(breadthMarker("Q_C", nonce), execution),
},
{
id: "plan-approve-complete",
label: "Plan, approve, complete",
groups: [],
workMode: "planning",
flow: "plan_approval_completion",
expectedRunCount: 2,
attemptTimeoutMs: { local: 15 * 60_000, daytona: 15 * 60_000 },
expectedTerminalState: { issue: "done", run: "succeeded" },
buildTitle: (nonce) => `OpenRouter breadth plan ${nonce}`,
buildVisibleMarker: (nonce) => breadthMarker("P_OK", nonce),
buildPlanMarkers: (nonce) => ({
draft: breadthMarker("P_READY", nonce),
revised: breadthMarker("P_OK", nonce),
}),
buildPrompt: (nonce) =>
[
"Create a canonical Plan with exactly two numbered steps and request approval; do not implement before approval.",
`The Plan body must contain ${breadthMarker("P_READY", nonce)}.`,
"Call write_document for key `plan`, then call request_human_input exactly once with interactionKind `confirmation`, targetRevisionId set to the returned latest Plan revision, and continuationPolicy `wake_assignee`.",
`Before that exact Plan revision is accepted, do not spell, quote, repeat, announce, or include ${breadthMarker("P_OK", nonce)} in any visible response, comment, or tool payload; refer to it only as “the terminal marker.”`,
"Do not call paperclip_finish while confirmation is pending.",
`After that exact Plan revision is accepted, use the current turn completion revision and criterion IDs (CURRENT_TURN_REVISION below is a placeholder, not a literal), then call paperclip_finish exactly once with {reportedWorkDisposition:"done",summary:"${breadthMarker("P_OK", nonce)}",completionClaim:{contractRevision:CURRENT_TURN_REVISION,objectiveSatisfied:true,criteria:[{criterionId:"objective",status:"satisfied",evidenceRefs:[]}],remainingWork:[]},evidence:[],verification:[]}. Wait for that tool call to succeed, then emit exactly ${breadthMarker("P_OK", nonce)} as the complete user-facing final response. Do not write a user-facing final response before paperclip_finish succeeds, and do not call another tool.`,
"Do not create files, child tasks, or unrelated work.",
].join("\n"),
buildMatchers: (nonce, execution) =>
terminalMatchers(breadthMarker("P_OK", nonce), execution),
},
] as const;
const localEnvironment = runnerEnvironments.find(
(environment) => environment.id === "local",
)!;
function warmTurnMarker(turn: 1 | 2 | 3, nonce: string) {
return `PAPERCLIP_E2E_WARM_T${turn}_${nonce}`;
}
function warmWorkspaceLine(turn: 1 | 2 | 3, nonce: string) {
// Issue descriptions are rendered through the native prompt's Markdown
// boundary, which escapes underscores. Keep the byte-level workspace
// sentinel Markdown-inert so both legacy and native providers receive the
// same literal content.
return `T${turn}-${nonce}`;
}
function warmTurnInstructions(turn: 1 | 2 | 3, nonce: string) {
const file = `daytona-warm-${nonce}.txt`;
const lines = Array.from({ length: turn }, (_, index) =>
warmWorkspaceLine((index + 1) as 1 | 2 | 3, nonce),
);
const marker = warmTurnMarker(turn, nonce);
const finalTurn = turn === 3;
const reviewRequests = finalTurn ? [] : [{
kind: "review", ownerClass: "human",
summary: `Review the verified turn ${turn} workspace file and decide whether this task is ready to complete or needs another revision.`,
}];
const legacyCompletion = finalTurn
? `In a legacy runner, make exactly one public-API completion write after verification: PATCH /api/issues/$PAPERCLIP_TASK_ID with {"status":"done","comment":"${marker}"}. Include Authorization and X-Paperclip-Run-Id. Do not POST a separate comment.`
: `In a legacy runner, after verification POST exactly one request_confirmation to /api/issues/$PAPERCLIP_TASK_ID/interactions with {"kind":"request_confirmation","idempotencyKey":"daytona-warm-review-T${turn}-${nonce}","resolverPolicy":"human_only","title":"Warm continuity turn ${turn}","summary":"Review completed warm continuity turn ${turn}.","continuationPolicy":"wake_assignee","payload":{"version":1,"prompt":"Is this warm continuity task ready to complete after turn ${turn}?","acceptLabel":"Approve completion","rejectLabel":"Continue work","rejectRequiresReason":true,"allowDeclineReason":true,"supersedeOnUserComment":false,"target":{"type":"custom","key":"daytona_warm_turn_${turn}","revisionId":"${nonce}-T${turn}","label":"Warm continuity turn ${turn}"}}}. Capture the returned interaction id. Then make exactly one issue PATCH with {"status":"in_review","comment":"${marker}","reviewInteractionId":"<returned interaction id>"}. Include Authorization and X-Paperclip-Run-Id on both writes. If the issue PATCH fails, retry only that PATCH and never create another interaction. Do not POST a separate comment. After both writes succeed, end the response and heartbeat immediately; do not wait or poll because the reviewer action will start the next turn.`;
return [
`This is warm Daytona continuity turn ${turn} of 3. Work only in the current execution workspace.`,
turn === 1
? `Create ${file} with exactly this one line followed by a newline: ${lines[0]}`
: `Before changing anything, read ${file} and verify its content is exactly ${lines.slice(0, -1).join("\\n")} followed by a newline. Then append exactly ${lines.at(-1)} followed by a newline.`,
`After the write, verify ${file} contains exactly these lines, once each and in order: ${lines.join(" | ")}.`,
`In a native runner, use the current turn completion revision and criterion IDs (CURRENT_TURN_REVISION below is a placeholder, not a literal), then call paperclip_finish exactly once with {reportedWorkDisposition:"${finalTurn ? "done" : "needs_review"}",summary:"${marker}",completionClaim:{contractRevision:CURRENT_TURN_REVISION,objectiveSatisfied:true,criteria:[{criterionId:"objective",status:"satisfied",evidenceRefs:[]}],remainingWork:[]},attentionRequests:${JSON.stringify(reviewRequests)},evidence:[],verification:[{commandOrCheck:"read ${file}",status:"passed"}]}. Wait for that tool call to succeed, then emit exactly ${marker} once as the complete user-facing final response.`,
legacyCompletion,
`In a legacy runner, the PATCH comment is the complete visible response. After its 2xx response, finish silently: do not print, echo, or emit ${marker} again as assistant text.`,
`Do not include ${marker} in any other visible response or write. Do not recreate, truncate, reorder, or duplicate prior lines.`,
].join("\n");
}
export const daytonaWarmContinuityTask: RunnerTaskFixture = {
id: "warm-three-turn",
label: "Warm three-turn workspace continuity",
groups: ["warm"],
workMode: "standard",
flow: "warm_three_turn",
expectedRunCount: 3,
attemptTimeoutMs: { local: 30 * 60_000, daytona: 30 * 60_000 },
turnTimeoutMs: 10 * 60_000,
expectedTerminalState: { issue: "done", run: "succeeded" },
buildTitle: (nonce) => `Runner E2E warm Daytona continuity ${nonce}`,
buildVisibleMarker: (nonce) => warmTurnMarker(3, nonce),
buildPrompt: (nonce) => warmTurnInstructions(1, nonce),
buildFollowupMessages: (nonce) => [
warmTurnInstructions(2, nonce),
warmTurnInstructions(3, nonce),
],
buildMatchers(nonce, execution) {
// Workspace persistence is the oracle for this story. Exact response text
// formatting must not mask a valid workspace, but every warm turn still
// needs one visible marker in chronological order. Surrounding provider
// prose is allowed; the occurrence and order matchers grade only markers.
const markers = ([1, 2, 3] as const).map((turn) => warmTurnMarker(turn, nonce));
return [
...markers.map((marker) => ({ kind: "message_occurrences" as const, expected: marker, count: 1 })),
{ kind: "message_ordered" as const, expected: markers },
{
kind: "file_exact",
path: `daytona-warm-${nonce}.txt`,
expected: `${([1, 2, 3] as const)
.map((turn) => warmWorkspaceLine(turn, nonce))
.join("\n")}\n`,
},
{ kind: "issue_status", expected: "done" },
{ kind: "run_status", expected: "succeeded" },
{ kind: "runtime_mode", expected: execution.profile.expectedRuntimeMode },
{ kind: "environment", expected: "daytona" },
];
},
};
const codexContinuityProfiles = runnerProfiles.filter((profile) =>
["legacy-codex", "runner-codex"].includes(profile.id),
);
export const connectionReviewSuite: RunnerSuiteFixture = {
id: "connection-reviews",
label: "Governed Connection Reviews",
description: "Opt-in local review, decision, stored execution, and continuation acceptance.",
groups: ["local"],
profiles: runnerProfiles.filter(profile => ["runner-codex", "runner-acpx-claude", "legacy-codex", "legacy-claude"].includes(profile.id)),
environments: [localEnvironment],
expectedMatrixSize: 16,
tasks: (["approve", "decline", "always", "restart"] as const).map(decision => ({
id: `tool-review-${decision}`, label: `Connection review: ${decision}`, groups: [],
workMode: "standard", flow: "governed_tool_review", toolReviewDecision: decision,
expectedRunCount: 2, attemptTimeoutMs: { local: 12 * 60_000, daytona: 12 * 60_000 },
expectedTerminalState: { issue: "done", run: "succeeded" },
buildTitle: nonce => `Runner E2E connection review ${decision} ${nonce}`,
buildVisibleMarker: nonce => `PAPERCLIP_E2E_REVIEW_DONE_${nonce}`,
buildPrompt: nonce => [
'Use the installed connection action "List fixture pages" with query "recent". Discover it through the runtime tool gateway. Do not simulate or invent its result.',
'It requires human approval. When approval_required is returned, do not retry and do not create another interaction. End the turn waiting for that existing server-owned review; leave this task in_review. Do not claim completion before the decision arrives.',
'Approval executes the stored call on the server. Your continuation receives its result; do not repeat that approved call. A decline executes nothing and must be respected.',
...(decision === "always" ? ['After the approved result arrives, call the same action once more with query "changed arguments" to verify the remembered permission.'] : []),
`After consuming the real result (or the human decline), finish the task and publish exactly PAPERCLIP_E2E_REVIEW_DONE_${nonce} once as your final task response.`,
'For native runners use paperclip_finish. Legacy runners PATCH the task with status done and the final comment. Do not create unrelated work.',
].join("\n"),
buildMatchers: (nonce, execution) => terminalMatchers(`PAPERCLIP_E2E_REVIEW_DONE_${nonce}`, execution),
})),
};
const everydayProfiles = [
...runnerProfiles.filter(profile => ["runner-codex", "runner-acpx-claude"].includes(profile.id)),
nativeProfile({ id: "runner-codex-mini", label: "Runner Codex Mini", provider: "codex", model: "gpt-5.4-mini", modelQualification: {source:"qualified_runner_profile",qualificationId:"everyday-codex-mini-pilot"}, credential: "OPENAI_API_KEY", supportedEnvironments: ["local"] }),
].map(productionStoryProfile);
export const runnerSuites: readonly RunnerSuiteFixture[] = [
{
id: "api-response-reading", label: "Bounded API response reading", manualOnly: true,
description: "Retrieve evidence beyond a saved API preview through authorized bounded text windows.",
groups: [], environments: runnerEnvironments,
profiles: runnerProfiles.filter(profile => profile.id === "runner-codex"),
tasks: [apiResponseReadingTask], expectedMatrixSize: 2,
definitionMetadata: { version: 1, grading: "hidden-evidence-exact-copy-and-api-tool-events", scheduling: "explicit-only" },
},
{
id: "continuation-accounting", label: "Continuation accounting baseline", manualOnly: true,
description: "Structured productive steps, bounded repair, restart and late gates; comments cannot buy more attempts.",
groups: ["local"], environments: [localEnvironment], profiles: codexContinuityProfiles.map(productionStoryProfile),
tasks: accountingTasks, expectedMatrixSize: 8,
excludedExecutionIds: accountingTasks.filter(t => !t.id.includes("productive")).map(t => `continuation-accounting.runner-codex.local.${t.id}`),
definitionMetadata: { version: 4, grading: "accounting-v4-cancellation-evidence", scheduling: "explicit-only", providerTurns: "five productive, three repair, two executed plus one cancelled for Stop" },
},
{
id: "lifecycle-baseline", label: "Lifecycle authority baseline", manualOnly: true,
description: "Paired narrative probes plus real stop/resume and governed-action controls; live browser/server/database/provider execution.",
groups: ["local"], environments: [localEnvironment],
profiles: codexContinuityProfiles.map(productionStoryProfile),
tasks: [...lifecycleLiveTasks,
...chatTasks.filter(task => ["clarify-reuse", "stop-new-resume"].includes(task.id)),
...connectionReviewSuite.tasks],
expectedMatrixSize: 46,
excludedExecutionIds: ["neutral", "challenge"].map(variant => `lifecycle-baseline.runner-codex.local.lifecycle-repair-${variant}`),
definitionMetadata: { version: 1, narrativeDigest: lifecycleLiveDefinitionDigest, grading: "durable-state-and-attributed-narrative", scheduling: "explicit-only" },
},
{
id: "continuation", label: "Task continuation",
description: "Human direction, approval boundaries, untrusted evidence, and completed actions across turns.",
groups: ["local"], environments: [localEnvironment],
profiles: runnerProfiles.filter(profile => ["legacy-codex", "legacy-claude", "runner-codex", "runner-acpx-claude"].includes(profile.id)).map(productionStoryProfile),
tasks: continuationTasks, expectedMatrixSize: 23,
excludedExecutionIds: [
...["legacy-codex", "legacy-claude"].map(profile => `continuation.${profile}.local.question-tool-documentation`),
...["legacy-codex", "legacy-claude", "runner-codex"].map(profile => `continuation.${profile}.local.provider-question-bridge`),
],
definitionMetadata: { version: 4, grading: "durable-state-and-approval-boundaries", instructions: "production" },
},
{
id: "everyday-workflows", label: "Everyday Paperclip Work", manualOnly: true,
description: "Real user requests, useful downloaded work, and durable continuation using production instructions.",
groups: ["native"], profiles: everydayProfiles, environments: [localEnvironment, daytonaWarmEnvironment],
tasks: everydayTasks, expectedMatrixSize: 47,
excludedExecutionIds: [...everydayProfiles.flatMap(profile => everydayTasks
.filter(task => !["build-revise", "delegate-feedback", "recover-controller", "create-skill-studio"].includes(task.id))
.map(task => `everyday-workflows.${profile.id}.daytona.${task.id}`))],
definitionMetadata: { version: 3, instructions: "production", grading: "outcome-and-invariants", scheduling: "explicit-only" },
},
{
id: "first-task", label: "First-task onboarding",
description: "Production onboarding, first replies, approval, and durable task execution.",
groups: ["onboarding"],
profiles: runnerProfiles.filter(profile => ["legacy-codex", "legacy-claude", "runner-codex", "runner-acpx-claude"].includes(profile.id)),
environments: [localEnvironment], tasks: firstTaskTasks, expectedMatrixSize: 52,
definitionMetadata: { version: 3, credentialPersistenceCheck: false, questionChoiceMinimum: 2, nativeSetup: "post-onboarding-runtime-switch", productionInstructions: true, qualityGrading: "informational" },
},
{
id: "agent-chat", label: "Persistent Agent Chat",
description: "Task-backed conversations, session resets, and project plan handoff.",
groups: ["chat"],
profiles: runnerProfiles.filter(profile => ["legacy-codex", "legacy-claude", "runner-codex", "runner-acpx-claude"].includes(profile.id)).map(defaultPermissionProfile),
environments: [localEnvironment], tasks: chatTasks, expectedMatrixSize: 28,
excludedExecutionIds: ["legacy-codex", "legacy-claude"].flatMap(profile => ["reassign-task", "create-backlog"].map(task => `agent-chat.${profile}.local.${task}`)),
definitionMetadata: { version: 6, resetRunsCountedSeparately: true, permissions: "production-defaults", stopBoundary: "provider-turn-started", restartMemory: "required-after-restart" },
},
{
id: "agent-chat-hardening", label: "Agent Chat Recovery and Coordination", manualOnly: true,
description: "Native chat startup cancellation, committed sends, hiring, grounded status, and remote continuity.",
groups: ["chat", "native"],
profiles: runnerProfiles.filter(profile => ["runner-codex", "runner-acpx-claude"].includes(profile.id))
.map(profile => productionStoryProfile(defaultPermissionProfile(profile))),
environments: [localEnvironment, daytonaWarmEnvironment], tasks: chatHardeningTasks, expectedMatrixSize: 18,
excludedExecutionIds: ["runner-codex", "runner-acpx-claude"].flatMap(profile =>
["stop-startup-new-resume", "hire-delegate-reuse", "blocked-status-review"].map(task => `agent-chat-hardening.${profile}.daytona.${task}`)),
definitionMetadata: { version: 5, permissions: "production-defaults", instructions: "production", grading: "durable-state-and-source-evidence", scheduling: "explicit-only", restartMemory: "required-after-restart", statusEvidence: "structured-current-blocker-and-active-run-count", readOnlyState: "public-mutation-contract-and-relations", hiringReference: "neutral-document-reference-line" },
},
{
id: "agent-chat-stories", label: "Agent Chat Setup and Interruptions", manualOnly: true,
description: "Experimental settings lifecycle and user follow-ups during active native work.",
groups: ["chat", "native"],
profiles: runnerProfiles.filter(profile => ["runner-codex", "runner-acpx-claude"].includes(profile.id))
.map(profile => productionStoryProfile(defaultPermissionProfile(profile))),
environments: [localEnvironment], tasks: chatStoryTasks, expectedMatrixSize: 6,
definitionMetadata: { version: 3, setup: "configured-native-agent", permissions: "production-defaults", interruptionBoundary: "provider-file-wait-in-agent-workspace", grading: "persisted-comments-and-plan-run-attributed", scheduling: "explicit-only" },
},
{
id: "agent-chat-qualification", label: "Agent Chat Remaining Qualification", manualOnly: true,
description: "Active ownership transfer, user recovery after worker loss, and grounded answer quality.",
groups: ["chat", "native"],
profiles: runnerProfiles.filter(profile => ["runner-codex", "runner-acpx-claude"].includes(profile.id))
.map(profile => productionStoryProfile(defaultPermissionProfile(profile))),
environments: [localEnvironment], tasks: chatQualificationTasks, expectedMatrixSize: 6,
definitionMetadata: { version: 9, permissions: "production-defaults", instructions: "production", crashBoundary: "verified-native-worker-pid-at-file-wait", recovery: "new-user-message-after-verified-cleanup", answerGrading: "exact-grounded-propositions-plus-separate-semantic-review", scheduling: "explicit-only" },
},
{
id: "completion-updates", label: "Delegated Completion Updates", manualOnly: true,
description: "Observe completion delivery and result access in onboarding and idle Agent Chat; prose requires separate semantic review.",
groups: ["chat", "native"],
profiles: runnerProfiles.filter(profile => ["runner-codex", "runner-acpx-claude"].includes(profile.id))
.map(profile => productionStoryProfile(defaultPermissionProfile(profile))),
environments: [localEnvironment],
tasks: [...firstTaskTasks.filter(task => task.id === "interview-plan-accept"), ...chatCompletionTasks],
expectedMatrixSize: 4,
definitionMetadata: { version: 6, instructions: "production", idleBoundaryTimeoutMs: 180_000, workerBriefTimeoutMs: 240_000, workerBriefWorkspace: "managed-project", workerBriefEvidence: "released-start-time", grading: "post-completion-reply-and-result-access", semanticReview: "required-separately", chatBoundary: "worker-gated-until-source-idle", observationWindowMs: 120_000, scheduling: "explicit-only" },
},
...(process.env.PAPERCLIP_RUNNER_E2E_CONNECTION_REVIEWS === "1" ? [connectionReviewSuite] : []),
{
id: "core-compatibility",
label: "Core Runner Compatibility",
description:
"Major provider, runtime generation, and execution-environment compatibility.",
groups: ["core"],
profiles: runnerProfiles,
environments: runnerEnvironments,
tasks: runnerTasks,
expectedMatrixSize: 42,
},
{
id: "local-session-integrity",
label: "Local Session Integrity",
description:
"Structured interaction and continuation qualification for every supported local profile.",
groups: ["core"],
profiles: runnerProfiles,
environments: [localEnvironment],
tasks: localIntegrityTasks,
expectedMatrixSize: 14,
},
{
id: "openrouter-model-breadth",
label: "OpenRouter Model Breadth",
description:
"Weekly-ranked tool-capable OpenRouter models through native OpenCode on isolated local workspaces.",
groups: ["breadth"],
profiles: openRouterBreadthProfiles,
environments: [localEnvironment],
tasks: openRouterBreadthTasks,
excludedExecutionIds: openRouterBreadthExcludedExecutionIds,
expectedMatrixSize: 10,
definitionMetadata: {
rankingSnapshotId: openRouterRankingSnapshot.snapshotId,
rankingContentHash: openRouterRankingSnapshot.contentHash,
rankingCapturedAt: openRouterRankingSnapshot.capturedAt,
rankingSourceUrl: openRouterRankingSnapshot.sourceUrl,
excludedModelIds: openRouterBreadthExcludedModelIds,
excludedExecutionIds: openRouterBreadthExcludedExecutionIds,
},
},
{
id: "daytona-warm-continuity",
label: "Daytona Warm Continuity",
description:
"Three browser-driven turns on one reusable Daytona sandbox for legacy and native Codex.",
groups: ["daytona", "warm"],
profiles: codexContinuityProfiles,
environments: [daytonaWarmEnvironment],
tasks: [daytonaWarmContinuityTask],
expectedMatrixSize: 2,
},
] as const;
export function suiteDefinitionHash(suite: RunnerSuiteFixture) {
return createHash("sha256")
.update(
JSON.stringify({
id: suite.id,
profiles: suite.profiles.map((profile) => ({
id: profile.id,
model: profile.model,
qualification: profile.modelQualification,
})),
environments: suite.environments.map((environment) => ({
id: environment.id,
configurationKey: environment.configurationKey ?? "default",
})),
tasks: suite.tasks.map((task) => ({
id: task.id,
flow: task.flow,
expectedRunCount: task.expectedRunCount,
...(task.minimumExpectedRunCount === undefined ? {} : { minimumExpectedRunCount: task.minimumExpectedRunCount }),
restartServerBeforeQuestionAnswer:
task.restartServerBeforeQuestionAnswer ?? false,
})),
excludedExecutionIds: [...(suite.excludedExecutionIds ?? [])].sort(),
metadata: suite.definitionMetadata ?? null,
}),
)
.digest("hex");
}
export function buildRunnerMatrix(
suites: readonly RunnerSuiteFixture[] = runnerSuites,
): MatrixExecution[] {
return suites.flatMap((suite) => {
const excludedExecutionIds = new Set(suite.excludedExecutionIds ?? []);
return suite.profiles.flatMap((profile) =>
suite.environments
.filter((environment) =>
profile.supportedEnvironments.includes(environment.id),
)
.flatMap((environment) =>
suite.tasks
.map((task) => ({
id: `${suite.id}.${profile.id}.${environment.id}.${task.id}`,
suite,
suiteDefinitionHash: suiteDefinitionHash(suite),
profile,
environment,
task,
groups: [
...new Set([
...suite.groups,
...profile.groups,
...environment.groups,
...task.groups,
]),
],
requiredCredentials: [
profile.credential,
...(environment.credential ? [environment.credential] : []),
],
}))
.filter((execution) => !excludedExecutionIds.has(execution.id)),
),
);
});
}
function duplicateIds(values: readonly { id: string }[]) {
const seen = new Set<string>();
return values
.map((value) => value.id)
.filter((id) => {
if (seen.has(id)) return true;
seen.add(id);
return false;
});
}
function assertNoRawSecretValues(value: unknown, label: string) {
if (typeof value === "string") {
if (/\b(?:sk-(?:proj-)?|sk-ant-)[A-Za-z0-9_-]{12,}\b/.test(value)) {
throw new Error(`${label} contains a raw secret-looking value`);
}
return;
}
if (Array.isArray(value)) {
value.forEach((entry) => assertNoRawSecretValues(entry, label));
return;
}
if (value && typeof value === "object") {
Object.entries(value).forEach(([key, entry]) => {
if (
typeof entry === "string" &&
/(?:api.?key|access.?token|credential|secret)$/i.test(key) &&
entry.trim()
) {
throw new Error(`${label} contains a raw credential at ${key}`);
}
assertNoRawSecretValues(entry, label);
});
}
}
export function validateRunnerCatalog(): MatrixExecution[] {
const allProfiles = [...runnerProfiles, ...openRouterBreadthProfiles, ...everydayProfiles.filter(p => !runnerProfiles.some(existing => existing.id === p.id))];
const allTasks = [
...accountingTasks,
...lifecycleLiveTasks,
...continuationTasks,
...everydayTasks,
...runnerTasks,
...localIntegrityTasks,
...openRouterBreadthTasks,
daytonaWarmContinuityTask,
];
for (const [label, values] of [
["suite", runnerSuites],
["profile", allProfiles],
["environment", runnerEnvironments],
["task", allTasks],
] as const) {
const duplicates = duplicateIds(values);
if (duplicates.length > 0)
throw new Error(
`Duplicate ${label} fixture ids: ${duplicates.join(", ")}`,
);
}
const selectableGroups = new Set<string>(SELECTABLE_GROUPS);
for (const fixture of [
...runnerSuites,
...allProfiles,
...runnerEnvironments,
daytonaWarmEnvironment,
...allTasks,
]) {
const unknownGroups = fixture.groups.filter(
(group) => !selectableGroups.has(group),
);
if (unknownGroups.length > 0) {
throw new Error(
`Fixture ${fixture.id} declares unknown groups: ${unknownGroups.join(", ")}`,
);
}
}
const sampleRefs = Object.fromEntries(
[
"OPENAI_API_KEY",
"ANTHROPIC_API_KEY",
"OPENROUTER_API_KEY",
"DAYTONA_API_KEY",
].map((name, index) => [
name,
{
type: "secret_ref" as const,
secretId: `${String(index + 1).padStart(8, "0")}-1111-4111-8111-111111111111`,
version: "latest" as const,
},
]),
);
for (const environment of [...runnerEnvironments, daytonaWarmEnvironment]) {
const payload = environment.buildEnvironment({
secretRefs: sampleRefs,
daytonaImage:
"ghcr.io/paperclipai/paperclip-daytona-runner@sha256:aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
executionId: "schema-validation",
});
createEnvironmentSchema.parse(payload);
assertNoRawSecretValues(payload, `environment ${environment.id}`);
}
for (const profile of [...allProfiles, ...everydayProfiles]) {
if (!CREDENTIAL_NAMES.includes(profile.credential)) {
throw new Error(
`Profile ${profile.id} declares unknown credential ${profile.credential}`,
);
}
const unsupportedEnvironmentIds = profile.supportedEnvironments.filter(
(environmentId) => !ENVIRONMENT_IDS.includes(environmentId),
);
if (unsupportedEnvironmentIds.length > 0) {
throw new Error(
`Profile ${profile.id} declares unknown environments: ${unsupportedEnvironmentIds.join(", ")}`,
);
}
const payload = profile.buildAgent({
environmentId: SAMPLE_UUID,
environmentFixtureId: "local",
workspacePath: "/tmp/paperclip-runner-e2e-schema",
secretRefs: sampleRefs,
executionId: "schema-validation",
});
createAgentSchema.parse(payload);
assertNoRawSecretValues(payload, `profile ${profile.id}`);
}
const matrix = buildRunnerMatrix();
const duplicateMatrixIds = duplicateIds(matrix);
if (duplicateMatrixIds.length > 0) {
throw new Error(
`Duplicate matrix execution ids: ${duplicateMatrixIds.join(", ")}`,
);
}
for (const suite of runnerSuites) {
const suiteSize = matrix.filter(
(execution) => execution.suite.id === suite.id,
).length;
if (suiteSize !== suite.expectedMatrixSize) {
throw new Error(
`Expected ${suite.expectedMatrixSize} ${suite.id} executions; received ${suiteSize}`,
);
}
}
const expectedTotal = runnerSuites.reduce((total, suite) => total + suite.expectedMatrixSize, 0);
if (matrix.length !== expectedTotal)
throw new Error(`Expected ${expectedTotal} runner executions; received ${matrix.length}`);
return matrix;
}
export const runnerMatrix = validateRunnerCatalog();
export function runnerExecutionById(id: string): MatrixExecution {
const execution = runnerMatrix.find((candidate) => candidate.id === id);
if (!execution) throw new Error(`Unknown runner E2E execution id: ${id}`);
return execution;
}